Instructions to use 5CD-AI/visobert-14gb-corpus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 5CD-AI/visobert-14gb-corpus with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="5CD-AI/visobert-14gb-corpus")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("5CD-AI/visobert-14gb-corpus") model = AutoModelForMaskedLM.from_pretrained("5CD-AI/visobert-14gb-corpus", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
b49fff1 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:02aaf05cda4db99e86b7c76eba6258867ce4d043da0fed19c87a7d46c8b53a65
size 470732
|